AI Enablement & Cloud Security Tech Lead

Morgan Stanley; Montreal (administrative region); Hybrid; CAD 180,000 - 240,000; Full time

Job summary

Morgan Stanley in Montreal, Quebec is seeking an AI Enablement Engineering Tech Lead to define technical direction for cloud and platform security, lead engineering teams, and partner with security, product, and platform stakeholders to build secure data platforms and workflows.

Hybrid work environment with a focus on secure, scalable AI solutions across high-volume security data, logs, alerts, and audit trails. Strong leadership and 8+ years in software/data engineering preferred.

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Cybersecurity, or related field.
• 8+ years of experience in software engineering, data engineering, or platform engineering.
• At least 2 years of experience in a technical leadership role.
• Proven ability to solve complex, ambiguous business and security challenges through scalable technical solutions.
• Experience designing and delivering data products that provide actionable insights and measurable business value.
• Deep expertise building and operating large-scale data and/or AI engineering solutions.
• Strong understanding of software engineering principles, distributed systems, and data architecture.
• Excellent communication, stakeholder management, and collaboration skills.

Responsibilities

• Define and execute the technical strategy and roadmap for cloud and platform security engineering.
• Architect scalable, end-to-end security data platforms supporting telemetry, risk analytics, compliance, and vulnerability management.
• Establish engineering standards, secure-by-design principles, and best practices for data and platform security.
• Translate complex, ambiguous security and business challenges into actionable, scalable technical solutions.
• Lead solution architecture design, including threat modeling and alignment with enterprise security and regulatory requirements.
• Oversee development and operation of cloud-based platforms processing high-volume security data (logs, alerts, audit trails).
• Ensure platform reliability through strong data quality, observability, governance, and performance management (SLA/SLO/KPI-driven).
• Drive automation of security controls, monitoring, and incident response processes.
• Lead and develop engineering teams while partnering with cross-functional stakeholders to deliver secure, high-impact outcomes.

Skills

Leadership

Security engineering

Data engineering

Software engineering

Communication

Education

Bachelor’s degree or equivalent in CS/Engineering/Cybersecurity

Job description

Morgan Stanley in Montreal, Quebec is seeking an AI Enablement Engineering Tech Lead to define technical direction for cloud and platform security, lead engineering teams, and partner with security, product, and platform stakeholders to build secure data platforms and workflows.

Hybrid work environment with a focus on secure, scalable AI solutions across high-volume security data, logs, alerts, and audit trails. Strong leadership and 8+ years in software/data engineering preferred.